Software Engineer, Distributed Data Systems

Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them

Experience building and operating large-scale distributed data processing pipelines

Hands-on experience with streaming data systems (Kafka, Flink, or similar)

Familiarity with Ray, Spark, or ClickHouse at production scale

An obsessive focus on reliability and building systems that don't page you at 3am

Experience with Lance or other vector-native storage formats

Background in GPU-accelerated data processing (RAPIDS, cuDF)

Design a lakehouse architecture that handles 100+ PB of web crawl data

Build streaming pipelines that process billions of documents per day for real-time indexing

Architect the data layer for our embedding training infrastructure on Ray

Scale our ClickHouse deployment to handle analytical queries across petabytes of search logs

Location: This is an in-person opportunity in San Francisco.

Visas: We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.

Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.